Senior Data Engineer

Join our dynamic Software Engineering team within the Algorithms group at Mobileye, and become a vital part of maintaining and optimizing the data aspect for Mobileye Algorithms Teams.

Our team's primary focus is to enhance productivity and ensure a smooth development lifecycle for our teams. We achieve this by managing their data processes, developing tools and processes to optimize data pipelines, and fostering a culture of continuous improvement in data management.As a Data Engineer, you will not only contribute to defining, managing, and analyzing our diverse range of data systems and frameworks but also take on a leadership role within the team.

Your expertise and guidance will have a significant impact on the daily operations of hundreds of algorithmic and software developers at Mobileye. Operating at an impressive scale of computing, storage, code-base, and data, we prioritize the use of cutting-edge technology, reliability, and usability.

We are seeking a talented Data Engineer who will be responsible for the end-to-end management of our data.

What will your job look like:

• Define and manage data requirements and processes.
• Develop and maintain data pipelines and ETL processes.
• Analyze data to derive actionable insights and support decision-making.
• Lead the data effort within the team, providing technical guidance and driving innovation.
• Collaborate with algorithmic and software developers to integrate data solutions into their workflows.
• Optimize data systems for performance, reliability, and scalability.
• Foster a culture of continuous improvement in data management and utilization.
• Ensure data quality and security across all processes and systems.
  
  

• At least 5 years experience in data engineering, data management, and analysis.
• Proven leadership skills and a passion for solving complex data problems.
• Expertise in distributed data systems, ETL processes, and data analysis frameworks.
• A track record of successfully leading data efforts within a software engineering team.
• Strong coding skills in Python and familiarity with CI/CD pipelines
• A commitment to using cutting-edge technology and best practices in data engineering.